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Zhonghua Yi Xue Za Zhi ; 88(13): 892-7, 2008 Apr 01.
Article in Chinese | MEDLINE | ID: mdl-18756954

ABSTRACT

OBJECTIVE: To investigate the risk factors, pathogenesis, cause of death, and outcome of different stroke subtypes. METHODS: The relevant data, including demographics, baseline risk factors, cause of death, and 1-year case fatality, were analyzed among 1913 consecutive hospitalized patients with ischemic and hemorrhagic stroke, 599 (31.3%) with intracerebral hemorrhage (ICH) and 1314 with ischemic stroke (68.7%), including 209 cases (15.9%) of total anterior circulation infarction (TACI), 417 cases (31.7%) of partial anterior circulation infarction (PACI), and 186 cases (14.2%) of posterior circulation infarctions (POCI), and 502 cases (38.2%) of lacunar infarctions (LACI), 1098 males and 815 females, aged 64 +/- 13 (14-98). RESULTS: Multivariate analysis showed that when age and sex were adjusted, atrial fibrillation was the independent predictive factor of TACI [odds ratio (OR) = 1.42, 95% CI = 1.25-2.31), hypertension and alcohol intake were the independent predictive factor LACI (OR = 1.24, 95% CI = 1.02-2.18; 0R = 1.12, 95% CI = 1.03-3.04) and ICH (OR = 1.84, 95% CI = 1.31-3.02; OR = 1.04, 95% CI = 1.01-4.13). A negative association was observed between hypertension and TACI (OR = 0.62, 95% CI = 0.34-0.72), atrial fibrillation and LACI (OR = 0.46, 95% CI = 0.26-0.82), and ICH and diabetes (OR = 0.56, 95% CI = 0.42-0.76). As compared to LACI, TACI and ICH significantly increased the risk of 1-year mortality (OR = 6.21, 95% CI = 2.86-8.42; OR = 5.86; 95% CI = 2.46-8.52). CONCLUSIONS: Stroke subtypes have different risk factor profile, causes and outcome. Information on determinants of the clinical syndromes may impact on the prevention and acute phase interventions.


Subject(s)
Cerebral Infarction/prevention & control , Intracranial Hemorrhages/prevention & control , Adolescent , Adult , Aged , Aged, 80 and over , Cerebral Infarction/diagnosis , Female , Follow-Up Studies , Hospitalization/statistics & numerical data , Humans , Intracranial Hemorrhages/diagnosis , Male , Middle Aged , Multivariate Analysis , Prognosis , Prospective Studies , Registries/statistics & numerical data , Risk Factors , Time Factors , Young Adult
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